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Compliant control for wearable exoskeleton robot based on human inverse kinematics

机译:基于人体逆运动学的可穿戴式外骨骼机器人柔顺控制

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摘要

Rehabilitation robots are a new technology dedicated to the physiotherapy and assistance motion and has aroused great interest in the scientific community. These kinds of robots have shown a high potential in limiting the patienta??s disability, increasing its functional movements and helping him/her in daily living activities. This technology is still an emerging area and suffers from many challenges like compliance control and humana??robot collaboration. The main challenge addressed in this research is to ensure that the exoskeleton robot provides an appropriate compliance control that allows it to interact perfectly with humans. This article investigates a new compliant control based on a second-order sliding mode with adaptive-gain incorporating time delay estimation. The control uses human inverse kinematics to complete active rehabilitation protocols for an exoskeleton robot with unknown dynamics and unforeseen disturbances. The stability analysis is formulated and demonstrated based on Lyapunov function. An experimental physiotherapy session with three healthy subjects was set up to test the effectiveness of the proposed control, using virtual reality environment.
机译:康复机器人是一种专门用于理疗和辅助运动的新技术,引起了科学界的极大兴趣。这类机器人在限制患者的残疾,增加其功能运动并帮助他/她进行日常生活中显示出很高的潜力。这项技术仍是新兴领域,并遭受许多挑战,例如合规控制和人机交互。这项研究解决的主要挑战是确保外骨骼机器人提供适当的顺应性控制,以使其与人类完美互动。本文研究了一种基于二阶滑模的新的顺应性控制,其中自适应增益结合了时延估计。该控制系统使用人体逆运动学技术,为动力学未知和无法预料的外骨骼机器人完成主动康复协议。稳定性分析是基于李雅普诺夫函数制定和证明的。设置了一个针对三个健康受试者的实验性理疗课程,以使用虚拟现实环境测试所提出控件的有效性。

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